Cortical Alterations in H3K27ac Regulation in Gene Expression Coincide Associated with Cognitive Decline and Affective Behavior in Mice During Aging: Genome-wide Epigenetic Analysis
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 12 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Mus musculus (mouse)
- Samples
- 12 samples: 12 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE299940_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1277582 and SRA study SRP592768. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM9050636 F1_WT18moPFC
- GSM9050637 M1_WT18moPFC
- GSM9050638 F3_WT18moPFC
- GSM9050639 M2_WT18moPFC
- GSM9050640 M3_WT18moPFC
- GSM9050641 F2_WT18moPFC
- GSM9050642 M1_WT5moPFC
- GSM9050643 F1_WT5moPFC
- GSM9050644 F2_WT5moPFC
- GSM9050645 M2_WT5moPFC
- GSM9050646 M3_WT5moPFC
- GSM9050647 F3_WT5moPFC
- GSE302188 Multi-omics analysis highlights the link of aging-related cognitive decline with systemic inflammation and alterations of tissue-maintenance 165 samples shares alterations, cognitive
- GSE289856 Convergence of aging- and rejuvenation-related epigenetic alterations on PRC2 targets 39 samples shares alterations, epigenetic
- GSE332794 Epigenomic profiling of H3K27ac in mouse brain regions under morphine and LPS exposure 206 samples shares h3k27ac
- GSE255762 ChIP-seq for PPARg, RXRa, and H3K27Ac in inflammation-associated unsaturated fatty acid-supplemented Th2 cells 25 samples shares h3k27ac
- GSE261412 Acute hormonal signaling-induced 3D chromatin loop reorganization controls adipocyte thermogenesis [ChIP-Seq mouse, H3K27ac, H3K4me3, H2AZ] 24 samples shares h3k27ac
- GSE294107 CUT&RUN sequencing - E12 mouse embryonic cortices ZBTB7A - GATAD2B - H3K27ac… 18 samples shares h3k27ac
- GSE229903 CUT&Tag analysis of H3K4me3, H3K27Ac,H2A119Ub, H3K27me3 and H3K36me3 in KPC1199 murine PDAC cell line 10 samples shares h3k27ac
- GSE266317 RNA-seq and ChIP-seq analysis of H3K27ac, H3K27me3, H3K9me2, and JMJD1A in 3T3-L1 cells and ChIP-seq analysis of NFIC in imSVF cells. 14 samples shares h3k27ac
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.